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Initial situation & project description

The aim of the project is to develop a fitness mat that assesses the quality of the user’s form when performing squats and deadlifts, in order to minimise the risk of injury. To achieve this, a pressure-sensing film is incorporated in a sandwich-like construction between a protective upper layer and a softer lower layer. This allows pressure images to be recorded during the exercise, which can then be analysed algorithmically with regard to various parameters, such as centre of pressure. These parameters serve as input data for an AI model trained using supervised learning. The training data is based on pressure patterns from movements that have been assessed as correct or incorrect by experienced trainers. The ultimate aim is to create a feedback system that provides users with real-time feedback on their technical execution. It detects incorrect movement patterns at an early stage, thereby helping to reduce the risk of injury and increase training efficiency. In the long term, the fitness mat developed is intended to support athletes in their daily training, objectively and reproducibly assess the execution of complex movements, and thus contribute to safe and effective training.